jiawensi/PortPy_Dataset

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The declared licence (cc-by-nc-4.0) is classified as having use restrictions.

Declared licence: cc-by-nc-4.0, from the tagEvidence: README.md at 4528ff6
Licence files: No licence file at the top level of the repositoryEvidence: file list at 4528ff6
Declared sources: None listed in the card metadata
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Citation text from the card

This dataset is derived from the publicly available NSCLC-Radiomics dataset hosted on [The Cancer Imaging Archive (TCIA)](https://www.cancerimagingarchive.net/collection/nsclc-radiomics/).

Original Data Citation:
Aerts, H. J. W. L., Wee, L., Rios Velazquez, E., Leijenaar, R. T. H., Parmar, C., Grossmann, P., Carvalho, S., Bussink, J., Monshouwer, R., Haibe-Kains, B., Rietveld, D., Hoebers, F., Rietbergen, M. M., Leemans, C. R., Dekker, A., Quackenbush, J., Gillies, R. J., Lambin, P. (2014). Data From NSCLC-Radiomics (version 4) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2015.PF0M9REI 

The original imaging data was processed by the authors of this repository by:
- Adding beam configurations.
- Creating influence matrices suitable for radiotherapy treatment planning optimization.
- Adding benchmark plans using in-house automated treatment planning system **ECHO**.
- Storing the data in the standardized [PortPy](https://github.com/PortPy/PortPy) data format for research and educational purposes.

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dataset_licence({ "id": "jiawensi/PortPy_Dataset" })
signal: "restrictive"
stated_licence: "cc-by-nc-4.0"
sources: 0